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A 3D Level Sets Method for Segmenting the Mouse Spleen and Follicles in Volumetric microCT Images

机译:在体积microCT图像中分割小鼠脾脏和滤泡的3D水平集方法

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摘要

We present a semi-automatic, 3D approach for segmenting the mouse spleen, and its interior follicles, in volumetric microCT imagery. Based upon previous 2D level sets work, we develop a fully 3D implementation and provide the corresponding finite difference formulas. We incorporate statistical and proximity weighting schemes to improve segmentation performance. We also note an issue with the original algorithm and propose a solution that proves beneficial in our experiments. Experimental results are provided for artificial and real data
机译:我们提出了一种半自动,3D方法,用于分割小鼠脾脏,其内部卵泡,体积微图形图像。基于以前的2D级别工作,我们开发完全3D实现并提供相应的有限差分公式。我们采用统计和接近权重方案来提高分割性能。我们还注意到原始算法的问题,并提出了一种在我们的实验中证明有益的解决方案。为人工和真实数据提供了实验结果

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